Ben Glocker

发表

Domain Generalization via Model-Agnostic Learning of Semantic Features

Daniel C. Castro, Konstantinos Kamnitsas, Qi Dou, 2019, NeurIPS.

ElasticFusion: Real-time dense SLAM and light source estimation

Stefan Leutenegger, Andrew J. Davison, Thomas Whelan, 2016, Int. J. Robotics Res..

TBI Lesion Segmentation in Head CT: Impact of Preprocessing and Data Augmentation

Konstantinos Kamnitsas, Daniel Rueckert, Steven McDonagh, 2019, BrainLes@MICCAI.

Hierarchical Gaussian Processes with Wasserstein-2 Kernels pdf

David Sharp, Sebastian Popescu, Ben Glocker, 2020, ArXiv.

Quantifying Progression of Multiple Sclerosis via Classification of Depth Videos

Ludwig Kappos, Bernard M. J. Uitdehaag, Peter Kontschieder, 2014, MICCAI.

Random forests in medical image computing

Ender Konukoglu, Ben Glocker, B. Glocker, 2020 .

Unsupervised Lesion Detection with Locally Gaussian Approximation

Ender Konukoglu, Nick Pawlowski, Xiaoran Chen, 2019, MLMI@MICCAI.

Fast Fully Automatic Segmentation of the Severely Abnormal Human Right Ventricle from Cardiovascular Magnetic Resonance Images Using a Multi-Scale 3D Convolutional Neural Network

Konstantinos Kamnitsas, Daniel Rueckert, Jennifer Keegan, 2016, 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

Towards End-to-End Image-to-Tree for Vasculature Modeling

Michiel Schaap, Manish Sharma, Matthew C. H. Lee, 2019 .

Cranial Implant Design via Virtual Craniectomy with Shape Priors

Enzo Ferrante, Ben Glocker, Virginia Newcombe, 2020, AutoImplant@MICCAI.

Special Issue on Machine Vision

Stefanos Zafeiriou, Ben Glocker, Tae-Kyun Kim, 2019, International Journal of Computer Vision.

Causality matters in medical imaging

Daniel C. Castro, Ben Glocker, Ian Walker, 2019, Nature Communications.

Dense planar SLAM

Paul H. J. Kelly, Andrew J. Davison, Ben Glocker, 2014, ISMAR.

Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images

Daniel Rueckert, Declan P. O'Regan, Wenjia Bai, 2017, FIMH.

Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty pdf

Konstantinos Kamnitsas, Mark van der Wilk, Nick Pawlowski, 2020, NeurIPS.

Universal Adversarial Perturbations to Understand Robustness of Texture vs. Shape-biased Training pdf

Kenneth T. Co, Emil C. Lupu, Luis Munoz-Gonz'alez, 2019, ArXiv.

Atlas-ISTN: Joint Segmentation, Registration and Atlas Construction with Image-and-Spatial Transformer Networks pdf

Michiel Schaap, Karl Hahn, Kersten Petersen, 2020, Medical Image Anal..

3D Reconstruction in Canonical Co-ordinate Space from Arbitrarily Oriented 2D Images

Bishesh Khanal, Daniel Rueckert, Steven McDonagh, 2017 .

Needles in Haystacks: On Classifying Tiny Objects in Large Images pdf

Nick Pawlowski, Nicolas Ballas, Michal Drozdzal, 2019, ArXiv.

Deep Generative Model-based Quality Control for Cardiac MRI Segmentation

Daniel Rueckert, Chen Chen, Shuo Wang, 2020, MICCAI.

Predicting Slice-to-Volume Transformation in Presence of Arbitrary Subject Motion pdf

Amir Alansary, Daniel Rueckert, Bernhard Kainz, 2017, MICCAI.

Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

Brian B. Avants, D. Louis Collins, Nikos Paragios, 2011, IEEE Transactions on Medical Imaging.

Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence

Klaus H. Maier-Hein, Lena Maier-Hein, Tobias Roß, 2016, MICCAI.

High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks pdf

Dimitrios Korkinof, Ben Glocker, Hugh Harvey, 2018, ArXiv.

Deep Structural Causal Models for Tractable Counterfactual Inference pdf

Daniel C. Castro, Nick Pawlowski, Ben Glocker, 2020, NeurIPS.

Multi-output Learning for Camera Relocalization

Andrew W. Fitzgibbon, Toby Sharp, Pushmeet Kohli, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Post-DAE: Anatomically Plausible Segmentation via Post-Processing With Denoising Autoencoders

Enzo Ferrante, Ben Glocker, Agostina J. Larrazabal, 2020, IEEE Transactions on Medical Imaging.

Unpaired Multi-Modal Segmentation via Knowledge Distillation

Pheng Ann Heng, Qi Dou, Ben Glocker, 2020, IEEE Transactions on Medical Imaging.

Anatomy Detection and Localization in 3D Medical Images

Antonio Criminisi, Ender Konukoglu, Nassir Navab, 2013 .

Machine Learning with Multi-Site Imaging Data: An Empirical Study on the Impact of Scanner Effects pdf

Daniel C. Castro, Ender Konukoglu, Qi Dou, 2019, ArXiv.

ElasticFusion: Dense SLAM Without A Pose Graph

Stefan Leutenegger, Andrew J. Davison, Thomas Whelan, 2015, Robotics: Science and Systems.

Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents

Loïc Le Folgoc, Konstantinos Kamnitsas, Amir Alansary, 2018, MICCAI.

(Hyper)-graphical models in biomedical image analysis

Nikos Komodakis, Nikos Paragios, Evangelia I. Zacharaki, 2016, Medical Image Anal..

Self-supervised Skull Reconstruction in Brain CT Images with Decompressive Craniectomy pdf

Enzo Ferrante, Tom Newman, Susan Stevenson, 2020, MICCAI.

A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation

Daniel Rueckert, Chen Qin, Christian Ledig, 2016, MLMI@MICCAI.

Medical Imaging with Deep Learning: MIDL 2019 -- Abstract Track

M. Jorge Cardoso, Ipek Oguz, Ender Konukoglu, 2019 .

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge

Hao Chen, Chengwen Chu, Pheng-Ann Heng, 2017, Medical Image Anal..

Dense planar SLAM

Paul H. J. Kelly, Andrew J. Davison, Ben Glocker, 2014, 2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR).

Universal Adversarial Robustness of Texture and Shape-Biased Models

Kenneth T. Co, Emil C. Lupu, Luis Munoz-Gonz'alez, 2019, 2021 IEEE International Conference on Image Processing (ICIP).

Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data

Joseph Ross Mitchell, Konstantinos Kamnitsas, Leland S. Hu, 2020, Journal of medical imaging.

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Brian B. Avants, D. Louis Collins, Hervé Delingette, 2015, IEEE Transactions on Medical Imaging.

Fast Multiple Organ Detection and Localization in Whole-Body MR Dixon Sequences

Antonio Criminisi, Nassir Navab, Olivier Pauly, 2011, MICCAI.

Assessment of Disability in Multiple Sclerosis Using the Kinect-Camera System: A Proof-of-Concept Study

Bernard M. J. Uitdehaag, Abigail Sellen, Antonio Criminisi, 2014 .

Computational Methods and Clinical Applications in Musculoskeletal Imaging

Jianhua Yao, Ben Glocker, Guoyan Zheng, 2017, Lecture Notes in Computer Science.

Vertebrae Detection and Localization in CT with Two-Stage CNNs and Dense Annotations pdf

Ben Glocker, James McCouat, 2019, ArXiv.

Image Registration via Stochastic Gradient Markov Chain Monte Carlo

Loïc Le Folgoc, Bernhard Kainz, Ben Glocker, 2020, UNSURE/GRAIL@MICCAI.

Analyzing Overfitting Under Class Imbalance in Neural Networks for Image Segmentation

Konstantinos Kamnitsas, Ben Glocker, Zeju Li, 2020, IEEE Transactions on Medical Imaging.

Common Limitations of Image Processing Metrics: A Picture Story pdf

Ronald M. Summers, Sotirios A. Tsaftaris, Lena Maier-Hein, 2021, ArXiv.

Adversarial interference and its mitigations in privacy-preserving collaborative machine learning

Daniel Rueckert, Jonathan Passerat-Palmbach, Ben Glocker, 2021, Nature Machine Intelligence.

Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations

Mobarakol Islam, Ben Glocker, B. Glocker, 2021, IPMI.

AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design

Dieter Schmalstieg, Antonio Pepe, Christina Gsaxner, 2021, IEEE Transactions on Medical Imaging.

Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty pdf

Konstantinos Kamnitsas, Mark van der Wilk, Nick Pawlowski, 2020, NeurIPS.

Nonlinear biomarker interactions in conversion from mild cognitive impairment to Alzheimer's disease

Paul M. Matthews, David J. Sharp, Roger N. Gunn, 2019, Human brain mapping.